Job Description

DESCRIPTION

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Amazon is seeking a talented Data Engineer II to join our team. In this role, you will design, build, and optimize data infrastructure that enables data-driven decision making across the organization. You'll work autonomously on complex data challenges while collaborating with cross-functional teams to deliver high-quality data solutions.



Key job responsibilities

Design, build, and optimize logical data models and data pipelines for complex datasets

Own ongoing data quality and create self-service access to datasets for business intelligence

Work on major portions of existing or new data architecture within the team

Collaborate with Software Development Engineers and other Data Engineers to design stable, performant data solutions

Write secure, stable, testable, and maintainable code with minimal defects

Apply appropriate data design approaches and make judicious trade-offs without over-engineering

Optimize resource usage including system hardware, data storage, query optimization, and AWS infrastructure

Participate actively in code reviews, design discussions, and team planning

Mentor and train junior team members and new peers

Resolve root causes of complex problems and balance customer requirements with team needs

Stay current on distributed systems technologies (MapReduce, MPP architectures, NoSQL databases)



A day in the life

As a DE II, you'll leverage your expertise in distributed systems and data technologies to solve difficult problems and contribute meaningfully to the team's data architecture while maintaining high standards of operational excellence.

BASIC QUALIFICATIONS

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Bachelor's degree in computer science, engineering, mathematics or equivalent, or Bachelor's degree 3+ years of data engineering experience Experience in one or more scripting languages (e.g., Python, Ruby, Perl) Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) 3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in web security and experience demonstrating software engineering skills in a previous intership, work experience, coding competitions, or publications Knowledge of distributed, multi-tiered systems, algorithms, and relational databases Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments Experience including, building and maintaining data flows and pipelines

PREFERRED QUALIFICATIONS

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Experience in AWS services Experience designing large-scale systems and applications Knowledge of data structures, data modeling, and database schema Experience building strategic relationships with stakeholders, including communicating and collaborating across teams and functions Experience in mentoring, leading, or managing more junior engineers Experience building data pipelines and ETL processes for large language models (LLMs) and generative AI applications Knowledge of vector databases and embeddings for semantic search and GenAI applications


Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.